stanceencoding
Stance encoding is a method used in natural language processing (NLP) to represent the viewpoint or attitude of a piece of text towards a specific target or topic. It aims to capture whether the text expresses a positive, negative, or neutral stance. This goes beyond simple sentiment analysis, which typically classifies the overall emotional tone of a text, by focusing on the relationship between the text and a particular entity or issue.
The process of stance encoding often involves training machine learning models on datasets where texts are
Applications of stance encoding are diverse. It can be crucial for opinion mining, where understanding public